summary method for fastglm fitted objects

summary method for fastglm fitted objects

# S3 method for fastglm
summary(object, dispersion = NULL, ...)

Arguments

object	fastglm fitted object
dispersion	the dispersion parameter for the family used. Either a single numerical value or NULL (the default), when it is inferred from object.
...	not used

Value

a summary.fastglm object

Examples

x <- matrix(rnorm(10000 * 10), ncol = 10)
y <- 1 * (0.25 * x[,1] - 0.25 * x[,3] > rnorm(10000))

fit <- fastglm(x, y, family = binomial())

summary(fit)
#> 
#> Call:
#> fastglm.default(x = x, y = y, family = binomial())
#> 
#> Deviance Residuals: 
#>     Min       1Q   Median       3Q      Max  
#> -2.0129  -1.1218  -0.6275   1.1112   2.0918  
#> 
#> Coefficients:
#>      Estimate Std. Error z value Pr(>|z|)    
#> X1   0.424298   0.021406  19.821   <2e-16 ***
#> X2  -0.029000   0.020471  -1.417    0.157    
#> X3  -0.364584   0.021316 -17.103   <2e-16 ***
#> X4   0.007105   0.020891   0.340    0.734    
#> X5  -0.003902   0.020628  -0.189    0.850    
#> X6   0.026920   0.020796   1.295    0.195    
#> X7  -0.009822   0.020591  -0.477    0.633    
#> X8   0.006501   0.020869   0.311    0.755    
#> X9   0.000051   0.020562   0.002    0.998    
#> X10  0.022796   0.020788   1.097    0.273    
#> ---
#> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
#> 
#> (Dispersion parameter for binomial family taken to be 1)
#> 
#>     Null deviance: 13863  on 10000  degrees of freedom
#> Residual deviance: 13150  on  9990  degrees of freedom
#> AIC: 13170
#> 
#> Number of Fisher Scoring iterations: 4
#>